Fig 4. SparseDOSSA enables comparative benchmarking and power analysis of microbial community statistical association tests.

For any originating community type of interest, datasets simulated based on a SparseDOSSA model fit can be spiked with known "phenotypes" and feature effect sizes to estimate methods performance (power, FPR, etc.) during (A) benchmarking as well as (B) power analysis, across controlled combinations of potential effect sizes and sample sizes. Points indicate average performance across simulation repetitions and error bars indicate standard error (Methods).